Harold E. Burkhart

8.0k total citations · 1 hit paper
224 papers, 6.2k citations indexed

About

Harold E. Burkhart is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Harold E. Burkhart has authored 224 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 198 papers in Nature and Landscape Conservation, 123 papers in Global and Planetary Change and 95 papers in Environmental Engineering. Recurrent topics in Harold E. Burkhart's work include Forest ecology and management (196 papers), Remote Sensing and LiDAR Applications (94 papers) and Forest Management and Policy (83 papers). Harold E. Burkhart is often cited by papers focused on Forest ecology and management (196 papers), Remote Sensing and LiDAR Applications (94 papers) and Forest Management and Policy (83 papers). Harold E. Burkhart collaborates with scholars based in United States, Brazil and Chile. Harold E. Burkhart's co-authors include Margarida Tomé, Ralph L. Amateis, Timothy A. Max, Richard F. Daniels, Guillermo Trincado, Quang V. Cao, Mahadev Sharma, Curtis L. VanderSchaaf, Terry R. Clason and Philip J. Radtke and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and Journal of Environmental Management.

In The Last Decade

Harold E. Burkhart

221 papers receiving 5.4k citations

Hit Papers

Modeling Forest Trees and Stands 2012 2026 2016 2021 2012 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Harold E. Burkhart United States 41 5.5k 3.5k 2.4k 1.6k 450 224 6.2k
Margarida Tomé Portugal 35 3.2k 0.6× 2.5k 0.7× 1.7k 0.7× 757 0.5× 321 0.7× 159 4.9k
Miren del Rı́o Spain 42 3.9k 0.7× 3.5k 1.0× 784 0.3× 516 0.3× 197 0.4× 138 4.9k
Isabel Cañellas Spain 38 3.1k 0.6× 3.0k 0.9× 677 0.3× 388 0.2× 328 0.7× 204 4.9k
Douglas A. Maguire United States 37 2.6k 0.5× 1.9k 0.6× 532 0.2× 895 0.6× 150 0.3× 118 3.4k
Hubert Sterba Austria 31 2.7k 0.5× 2.2k 0.6× 630 0.3× 408 0.3× 111 0.2× 76 3.4k
Tatuo Kira Japan 14 3.6k 0.7× 2.9k 0.8× 1.0k 0.4× 531 0.3× 90 0.2× 22 5.2k
Harri Mäkinen Finland 41 3.3k 0.6× 2.9k 0.8× 452 0.2× 1.1k 0.7× 283 0.6× 144 4.7k
Hubert Hasenauer Austria 34 2.2k 0.4× 2.5k 0.7× 693 0.3× 275 0.2× 132 0.3× 136 3.6k
Bruce E. Borders United States 29 1.8k 0.3× 1.3k 0.4× 797 0.3× 367 0.2× 205 0.5× 79 2.4k
Michael S. Watt New Zealand 37 2.1k 0.4× 1.3k 0.4× 1.3k 0.5× 621 0.4× 117 0.3× 209 4.5k

Countries citing papers authored by Harold E. Burkhart

Since Specialization
Citations

This map shows the geographic impact of Harold E. Burkhart's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Harold E. Burkhart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harold E. Burkhart more than expected).

Fields of papers citing papers by Harold E. Burkhart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harold E. Burkhart. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Harold E. Burkhart. The network helps show where Harold E. Burkhart may publish in the future.

Co-authorship network of co-authors of Harold E. Burkhart

This figure shows the co-authorship network connecting the top 25 collaborators of Harold E. Burkhart. A scholar is included among the top collaborators of Harold E. Burkhart based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Harold E. Burkhart. Harold E. Burkhart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Amacher, Gregory S., et al.. (2024). Deferred rotation carbon programs for even-aged forests: Aligning landowner and societal objectives. Forest Policy and Economics. 168. 103295–103295. 1 indexed citations
2.
Burkhart, Harold E., et al.. (2023). Evaluating semi- and nonparametric regression algorithms in quantifying stem taper and volume with alternative test data selection strategies. Forestry An International Journal of Forest Research. 96(4). 465–480. 7 indexed citations
3.
Burkhart, Harold E., et al.. (2022). Projection Matrix Models: A Suitable Approach for Predicting Sustainable Growth in Uneven-Aged and Mixed Hyrcanian Forests. Sustainability. 14(11). 6777–6777. 3 indexed citations
5.
Thomas, R. Quinn, Evan B. Brooks, Annika Jersild, et al.. (2017). Leveraging 35 years of Pinus taeda research in the southeastern US to constrain forest carbon cycle predictions: regional data assimilation using ecosystem experiments. Biogeosciences. 14(14). 3525–3547. 37 indexed citations
6.
Burkhart, Harold E., et al.. (2014). Predicting site index of plantation loblolly pine from biophysical variables. Forest Ecology and Management. 326. 142–156. 69 indexed citations
7.
VanderSchaaf, Curtis L. & Harold E. Burkhart. (2008). Using Segmented Regression to Estimate Stages and Phases of Stand Development. Forest Science. 54(2). 167–175. 18 indexed citations
8.
Trincado, Guillermo & Harold E. Burkhart. (2008). A Model of Knot Shape and Volume in Loblolly Pine Trees. Wood and Fiber Science. 40(4). 634–646. 12 indexed citations
9.
Burkhart, Harold E.. (2008). Modelling Growth and Yield for Intensively Managed Forests. Journal of Forest and Environmental Science. 24(3). 119–126. 7 indexed citations
10.
Bullock, Bronson P. & Harold E. Burkhart. (2005). An Evaluation of Spatial Dependency in Juvenile Loblolly Pine Stands Using Stem Diameter. Forest Science. 51(2). 102–108. 4 indexed citations
11.
Amateis, Ralph L., Mahadev Sharma, & Harold E. Burkhart. (2003). Scaling Growth Relationships from Seedling Plots Using Similarity Analysis. Forest Science. 49(2). 188–195. 10 indexed citations
12.
Sharma, Mahadev & Harold E. Burkhart. (2003). Selecting a Level of Conditioning for the Segmented Polynomial Taper Equation. Forest Science. 49(2). 324–330. 19 indexed citations
13.
Burkhart, Harold E., et al.. (1998). Juvenile-Mature Wood Demarcation in Loblolly Pine Trees. Wood and Fiber Science. 30(2). 119–127. 47 indexed citations
14.
Burkhart, Harold E., et al.. (1998). Modeling Thinning Effects on Ring Specific Gravity of Loblolly Pine (Pinus taeda L.). Forest Science. 44(2). 212–223. 47 indexed citations
15.
Amateis, Ralph L., Philip J. Radtke, & Harold E. Burkhart. (1996). Growth and Yield of Thinned and Unthinned Plantations. Journal of Forestry. 94(12). 19–23. 14 indexed citations
16.
Liu, Jiping & Harold E. Burkhart. (1994). Spatial Characteristics of Diameter and Total Height in Juvenile Loblolly Pine (Pinus taeda L.) Plantations. Forest Science. 40(4). 774–786. 6 indexed citations
17.
Liu, Jiping & Harold E. Burkhart. (1994). Spatial autocorrelation of diameter and height increment predictions from two stand simulators for loblolly pine. Forest Science. 40(2). 349–356. 12 indexed citations
18.
Cao, Quang V. & Harold E. Burkhart. (1984). A Segmented Distribution Approach for Modeling Diameter Frequency Data. Forest Science. 30(1). 129–137. 45 indexed citations
19.
Burkhart, Harold E., et al.. (1981). Energy Output/Input Relationships for Loblolly Pine Stands. Journal of Forestry. 79(10). 670–673. 1 indexed citations
20.
Strub, Mike R., et al.. (1975). Comparison of Diameter Growth and Crown Competition Factor in Loblolly Pine Plantations. Forest Science. 21(4). 427–431. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026